Visions of Destruction: Exploring a Potential of Generative AI in Interactive Art
Mar Canet Sola, Varvara Guljajeva

TL;DR
This paper investigates how generative AI can be used in interactive art to create audience-responsive experiences that highlight environmental issues, exemplified by the 'Visions of Destruction' artwork.
Contribution
It introduces a novel interactive artwork utilizing gaze-based AI to depict environmental degradation, demonstrating new artistic and technical possibilities in AI-driven interactive art.
Findings
Generative AI enables dynamic, audience-responsive environmental art.
The artwork effectively evokes reflection on human impact and climate change.
Technical challenges in integrating AI with interactive systems are addressed.
Abstract
This paper explores the potential of generative AI within interactive art, employing a practice-based research approach. It presents the interactive artwork "Visions of Destruction" as a detailed case study, highlighting its innovative use of generative AI to create a dynamic, audience-responsive experience. This artwork applies gaze-based interaction to dynamically alter digital landscapes, symbolizing the impact of human activities on the environment by generating contemporary collages created with AI, trained on data about human damage to nature, and guided by audience interaction. The transformation of pristine natural scenes into human-made and industrialized landscapes through viewer interaction serves as a stark reminder of environmental degradation. The paper thoroughly explores the technical challenges and artistic innovations involved in creating such an interactive art…
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